| Literature DB >> 24905353 |
Francisco X Nascimento1, Márcio J Rossi1, Cláudio R F S Soares1, Brendan J McConkey2, Bernard R Glick2.
Abstract
The main objective of this work is the study of the phylogeny, evolution and ecological importance of the enzyme 1-aminocyclopropane-1-carboxylate (ACC) deaminase, the activity of which represents one of the most important and studied mechanisms used by plant growth-promoting microorganisms. The ACC deaminase gene and its regulatory elements presence in completely sequenced organisms was verified by multiple searches in diverse databases, and based on the data obtained a comprehensive analysis was conducted. Strain habitat, origin and ACC deaminase activity were taken into account when analyzing the results. In order to unveil ACC deaminase origin, evolution and relationships with other closely related pyridoxal phosphate (PLP) dependent enzymes a phylogenetic analysis was also performed. The data obtained show that ACC deaminase is mostly prevalent in some Bacteria, Fungi and members of Stramenopiles. Contrary to previous reports, we show that ACC deaminase genes are predominantly vertically inherited in various bacterial and fungal classes. Still, results suggest a considerable degree of horizontal gene transfer events, including interkingdom transfer events. A model for ACC deaminase origin and evolution is also proposed. This study also confirms the previous reports suggesting that the Lrp-like regulatory protein AcdR is a common mechanism regulating ACC deaminase expression in Proteobacteria, however, we also show that other regulatory mechanisms may be present in some Proteobacteria and other bacterial phyla. In this study we provide a more complete view of the role for ACC deaminase than was previously available. The results show that ACC deaminase may not only be related to plant growth promotion abilities, but may also play multiple roles in microorganism's developmental processes. Hence, exploring the origin and functioning of this enzyme may be the key in a variety of important agricultural and biotechnological applications.Entities:
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Year: 2014 PMID: 24905353 PMCID: PMC4048297 DOI: 10.1371/journal.pone.0099168
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Phylogram based on the acdS gene.
The evolutionary history was inferred by using the Maximum Likelihood method based on the GTR model. A discrete Gamma distribution was used to model evolutionary rate differences among sites (4 categories). Branch support was evaluated using both aLRT (SH like) and bootstrap analysis (100 replicates). Bootstrap values above 0.75 (75%) are displayed in the phylograms shown next to the branches as *. The analysis involved 335 nucleotide sequences and 931 patterns were found (out of a total of 1155 sites).
Figure 2Phylogram based on 16S rDNA sequences.
The evolutionary history was inferred by using the Maximum Likelihood method based on the GTR model. A discrete Gamma distribution was used to model evolutionary rate differences among sites (4 categories). Branch support was evaluated using both aLRT (SH like) and bootstrap analysis (100 replicates). Bootstrap values above 0.75 (75%) are displayed in the phylograms shown next to the branches as *. The analysis involved 272 nucleotide sequences and 768 patterns were found (out of a total of 1334 sites).
Figure 3Phylogram based on AcdS protein.
The evolutionary history was inferred by using the Maximum Likelihood method based on the WAG model. A discrete Gamma distribution was used to model evolutionary rate differences among sites (4 categories). Branch support was evaluated using both aLRT (SH like) and bootstrap analysis (100 replicates). Bootstrap values above 0.75 (75%) are displayed in the phylograms shown next to the branches as *. The analysis involved 431 amino acid sequences and 386 patterns were found (out of a total of 421 sites). Functional ACC deaminases are shown in bold.
Figure 4Phylogram based on acdR gene.
The evolutionary history was inferred by using the Maximum Likelihood method based on the GTR model. A discrete Gamma distribution was used to model evolutionary rate differences among sites (4 categories). Branch support was evaluated using both aLRT (SH like) and bootstrap analysis (100 replicates). Bootstrap values above 0.75 (75%) are displayed in the phylograms shown next to the branches as *. The analysis involved 166 nucleotide sequences and 509 patterns were found (out of a total of 594 sites).
Figure 5Phylogram constructed based on ACC deaminase and related PLP enzymes protein sequences.
The evolutionary history was inferred by using the Maximum Likelihood method based on the WAG model. A discrete Gamma distribution was used to model evolutionary rate differences among sites (4 categories). Branch support was evaluated using both aLRT (SH like) and bootstrap analysis (100 replicates). Bootstrap values above 0.75 (75%) are displayed in the phylograms shown next to the branches as *. The analysis involved 99 aminoacid sequences and 570 patterns were found (out of a total of 594 sites). Sequences used for the construction of this phylogram are described in Table S6.
Substrate cleavage abilities of studied ACC deaminase, D-cysteine desulfhydrase and other PLP dependent (ACC deaminase or D-cysteine desulfhydrase homologs) enzymes.
| Enzyme | Tested substrates | Functional substrates | Km (mM) | Reference |
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| ACC, D-cys | ACC, D-cys | 0.25 (D-cys) |
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| ACC, D-ser, β-CDA | ACC, D-ser | n.a |
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| ACC, DCA, D-cys, D-ser, β-CDA, OAD-ser | ACC, DCA, D-cys, D-ser | 2.6 (ACC) |
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| D-cys, 3-CDA, D-cyst, DLAC, DLSC, DLSCyst, Dlan, D-ala, L-ala, D-ser, L-ser, D-phen, L-phen, D-tryp, and others. | D-cys, 3-CDA, D-cyst, DLac, DLsc, DLSCyst, DLan. | 0.15 (D-cys), 0.91 (3-CDA), 0.27 (D-cyst), 0.29 (DLac), 0.04 (DLsc), 0.11 (Dlan) |
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| ACC, D-cys, L-cys | ACC | 0.8 (ACC) |
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| ACC, D-cys, L-cys | ACC | 1.8 (ACC) |
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| ACC, DCA, L-ser, D-ser, DACC, DACA | ACC, DCA, D-ser | 4.8 (ACC) |
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| ACC, D-Ala, L-Ala, D- Ser, and L-Ser, D-cys | D-ser, L-ser | n.a |
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| ACC, D-cys | ACC, D-cys | 3.4 (ACC) |
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| ACC, D-cys | D-cys | 0.34 (D-cys) |
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| ACC, D-VG, β-CDA, β-FDA, D-ser, V-ACC, APC, Cys, L-hom, L-thr, L-try, L-met, L-tyr, L-cys, L-aba, DCA, D-EAC, D-TAF | ACC, D-VG, β-CDA, D-ser, β-FDA, V-ACC, OAD-ser, β-2CDA, β-2FDA, DCA, D-EAC, D-TAF | 1.5 and 9.2 (ACC), 1.1 (β-FDA), 4.4 (V-ACC), 5.4 (β-CDA), 36.2 (DCA), 56 (OAD-ser), 97 (D-VG) |
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| D-Cys, β-CDA, D-Ser, L-Ser, ACC, D-Ala | D-Cys, β-CDA, D-ser | 0.34 (D-cys) |
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| ACC, D-cys, L-cys | D-cys | 0.21 (D-cys) |
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| ACC, D-cys | ACC | n.a |
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1-amino-2-vinylcyclopropane-l-carboxylic acid (V-ACC), 1-aminocyclopentane-1-carboxylate (APC), 1-aminocyclopropane-1-carboxylic acid (ACC), 3-chloro-D-alanine (3-CDA), Cystathionine (Cyst), D-alanine (D-ala), D-cysteine (D-Cys), D-cystine (D-cyst), D-erythro-2-amino-3-chlorobutyrate (D-EAC), D-methionine (D-met), D-phenylalanine (D-phen), D-serine (D-ser), D-threo-2-amine-3-fluorobutyrate (D-TAF), D-tryptophan (D-tryp), D-vinylglycine (D-VG), Dimethyl-ACC (DACC), DL-lanthionine (Dlan), DL-allocoronamic acid (DACA), DL-allocystathionine (DLAC), DL-coronamic acid (DCA), DL-selenocysteine (DLSCyst), DL-selenocystine (DLSC), L-alanine (L-ala), L-aminobutyric acid (L-aba), L-cysteine (L-cys), L-homoserine (L-hom), L-methione (L-met), L-phenylalanine (L-phen), L-serine (L-ser), L-threonine (L-thr), L-tryptophan (L-try), L-tyrosine (L-tyr), β -chloro-D-alanine (β-CDA), β-fluoro-D-alanine (β-FDA), β, β- dichloro-D-alanine (β2CDA), β, β- difluoro-D-alanine (β2FDA), Ο-acetyl-D-serine (OAD-ser).